Triple
T29847758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Kentish Knock |
E757975
|
entity |
| Predicate | englishShipsOfTheLine |
P148704
|
FINISHED |
| Object | about 30 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: about 30 | Statement: [Battle of the Kentish Knock, englishShipsOfTheLine, about 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: englishShipsOfTheLine Context triple: [Battle of the Kentish Knock, englishShipsOfTheLine, about 30]
-
A.
BritishShipsOfTheLine
Indicates a relationship where the subject is classified as a ship of the line that belonged to or was operated by Britain.
-
B.
shipsOfTheLine
Indicates a relationship where the associated entities are classified as ships of the line, i.e., major warships designed to participate in the main line of battle.
-
C.
BritishShipRate
Indicates that the subject is classified or rated according to the British naval ship rating system (e.g., first-rate, second-rate, etc.).
-
D.
approximateEnglishShips
chosen
Indicates that one entity is an estimated or approximate count of English ships associated with another entity or context.
-
E.
BritishShipType
Indicates that the entity is classified as a type of ship associated with Britain, typically by origin, design, or service.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6764489c881909618ff635fe6c410 |
completed | May 2, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:42 p.m.